15 days ago
London, United KingdomMid Level
Responsibilities
- Design and implement scalable ETL workflows and data pipelines across distributed systems and cloud infrastructure.
- Create and maintain logical and physical data models that support data integrity, analytics, and reporting.
- Write SQL and scripting code to automate data processes, optimize queries, track data lineage, and improve data quality.
- Collaborate with analysts, scientists, and software engineers to understand requirements and deliver usable datasets.
- Participate in code reviews, design discussions, operational improvement initiatives, incident troubleshooting, and peer mentoring.
Requirements
- Experience in data engineering.
- Experience with data modeling, data warehousing, and building ETL pipelines.
- Preferred experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
- Preferred experience with non-relational databases or data stores, including object storage, document or key-value stores, graph databases, and column-family databases.
Benefits
- One-year fixed-term contract.
- The role offers the opportunity to shape scalable data infrastructure and data management tools at Amazon.
- Inclusive workplace with equal opportunity employment and disability accommodations during the hiring process.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.